Smart IoT Monitoring Framework based on oneM2M for Fog Computing

被引：4

作者：

Choi, Jeongwoo ^{[1
]}

Kim, Yongmin ^{[1
]}

Shin, Sung-Y. ^{[2
]}

Hong, Jiman ^{[1
]}

机构：

[1] Soongsil Univ, Sch Comp Sci & Engn, 369 Sangdo Ro, Seoul, South Korea

[2] South Dakota State Univ, Brookings, SD 57006 USA

来源：

33RD ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING | 2018年

基金：

新加坡国家研究基金会;

关键词：

IoT(Internet of Things); Cloud Computing; Fog Computing; Monitoring;

D O I：

10.1145/3167132.3173379

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

As the Internet of Things (IoT) technology evolves, it is no longer appropriate to process real-time, large-volume data generated by numerous IoT devices in a cloud computing environment. To solve this problem, fog computing has been proposed which minimizes response time and makes real - time processing suitable. However, there is still a lack of research on techniques for efficiently managing various services and monitoring IoT devices in real time. Therefore, this paper proposes an efficient framework to monitor IoT devices in fog computing environment. The proposed monitoring framework is based on the oneM2M standard and consists of three detailed frameworks: device manager, monitoring manager, and data manager.

引用

页码：1848 / 1852

页数：5